A novel fully adaptive neural network modeling and implementation using colored Petri nets-Reference-Cited by-同舟云学术

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A novel fully adaptive neural network modeling and implementation using colored Petri nets

Published:2023-06 Issue:2 Volume:33 Page:129-160
ISSN:0924-6703
Container-title:Discrete Event Dynamic Systems
language:en
Short-container-title:Discrete Event Dyn Syst

Author:

Albuquerque Rosângela^ORCID,Júnior Corneli,Barroso Giovanni,Barreto Guilherme

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

FUNCAP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Modeling and Simulation,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s10626-023-00377-9.pdf

Reference35 articles.

1. Ahson SI (1995) Petri net models of fuzzy neural networks. IEEE Trans Syst Man Cybern 25(6):926–932

2. Arivudainambi D, Kumar KAV, Chakkaravarthy SS et al (2019) Malware traffic classification using principal component analysis and artificial neural network for extreme surveillance. Comput Commun 147:50–57

3. Ayres de Campos D, Bernardes J, Garrido A et al (2000) SisPorto 2.0: A program for automated analysis of cardiotocograms. Journal of Maternal-Fetal Medicine 9(5):311–318

4. Bouhoune K, Yazida K, Boucherit MS et al (2017) Hybrid control of the three phase induction machine using artificial neural networks and fuzzy logic. Appl Soft Comput 55:289–301

5. Cabaneros SM, Calautit JK, Hughes BR (2019) A review of artificial neural network models for ambient air pollution prediction. Environ Model Softw 119(104669):285–304

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